{"product_id":"data-analysis-and-applications-2-utilization-of-results-in-europe-and-other-topics-hardback-9781786304476","title":"Data Analysis and Applications 2; Utilization of Results in Europe and Other Topics (Hardback) 9781786304476","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eData Analysis and Applications 2\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eUtilization of Results in Europe and Other Topics\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eChristos H. Skiadas (Edited by), C Skiadas (Author), James R. Bozeman (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781786304476, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 26 February 2019\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e256 pages\u003cbr\u003e23.6 x 16 x 2 cm, 0.567 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eThis series of books collects a diverse array of work that provides the reader with theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications.\u003cbr\u003e\u003cbr\u003eVolume 2 begins with an introductory chapter by Gilbert Saporta, a leading expert in the field, who summarizes the developments in data analysis over the last 50 years. The book is then divided into four parts: Part 1 examines (in)dependence relationships, innovation in the Nordic countries, dentistry journals, dependence among growth rates of GDP of V4 countries, emissions mitigation, and five-star ratings; Part 2 investigates access to credit for SMEs, gender-based impacts given Southern Europe’s economic crisis, and labor market transition probabilities; Part 3 looks at recruitment at university job-placement offices and the Program for International Student Assessment; and Part 4 examines discriminants, PageRank, and the political spectrum of Germany.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xi\u003c\/p\u003e \u003cp\u003eIntroduction xiii\u003cbr\u003e\u003ci\u003eGilbert SAPORTA\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 1 Applications \u003c\/b\u003e1\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 Context-specific Independence in Innovation Study \u003c\/b\u003e\u003cb\u003e3\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eFederica NICOLUSSI\u003c\/i\u003e and \u003ci\u003eManuela CAZZARO\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 3\u003c\/p\u003e \u003cp\u003e1.2 Parametrization for CS independencies 4\u003c\/p\u003e \u003cp\u003e1.3 Stratified chain graph models 6\u003c\/p\u003e \u003cp\u003e1.4 Application on real data 7\u003c\/p\u003e \u003cp\u003e1.5 Conclusion 12\u003c\/p\u003e \u003cp\u003e1.6 References 12\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Analysis of the Determinants and Outputs of Innovation in the Nordic Countries \u003c\/b\u003e\u003cb\u003e15\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eCátia ROSÁRIO\u003c\/i\u003e, \u003ci\u003eAntónio Augusto COSTA\u003c\/i\u003e and \u003ci\u003eAna LORGA DA SILVA\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 15\u003c\/p\u003e \u003cp\u003e2.2 Innovation 16\u003c\/p\u003e \u003cp\u003e2.3 Methodology 19\u003c\/p\u003e \u003cp\u003e2.4 Results 21\u003c\/p\u003e \u003cp\u003e2.5 Conclusion 25\u003c\/p\u003e \u003cp\u003e2.6 References 26\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Bibliometric Variables Determining the Quality of a Dentistry Journal \u003c\/b\u003e\u003cb\u003e29\u003cbr\u003e\u003c\/b\u003e\u003ci\u003ePilar VALDERRAMA, Manuel ESCABIAS, Evaristo JIMÉNEZ-CONTRERAS, Mariano JVALDERRAMA\u003c\/i\u003e and \u003ci\u003ePilar BACA\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 29\u003c\/p\u003e \u003cp\u003e3.2 Statistical methodology 30\u003c\/p\u003e \u003cp\u003e3.3 Results 32\u003c\/p\u003e \u003cp\u003e3.4 Conclusions 35\u003c\/p\u003e \u003cp\u003e3.5 Acknowledgment 35\u003c\/p\u003e \u003cp\u003e3.6 References 36\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Analysis of Dependence among Growth Rates of GDP of V4 Countries Using Four-dimensional Vine Copulas \u003c\/b\u003e\u003cb\u003e37\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eJozef KOMORNÍK\u003c\/i\u003e, \u003ci\u003eMagda KOMORNÍKOVÁ\u003c\/i\u003e and \u003ci\u003eTomáš BACIGÁL\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 37\u003c\/p\u003e \u003cp\u003e4.2 Theory 38\u003c\/p\u003e \u003cp\u003e4.3 Results 42\u003c\/p\u003e \u003cp\u003e4.4 Conclusion and future work 45\u003c\/p\u003e \u003cp\u003e4.5 Acknowledgment 47\u003c\/p\u003e \u003cp\u003e4.6 References 47\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Monitoring the Compliance of Countries on Emissions Mitigation Using Dissimilarity Indices \u003c\/b\u003e\u003cb\u003e49\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eEleni KETZAKI, Stavros RALLAKIS, Nikolaos FARMAKIS\u003c\/i\u003e and \u003ci\u003eEftichios SARTZETAKIS\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 49\u003c\/p\u003e \u003cp\u003e5.2 The proposed method 50\u003c\/p\u003e \u003cp\u003e5.2.1 Description of method for individual data 51\u003c\/p\u003e \u003cp\u003e5.2.2 Description of method for grouped data 52\u003c\/p\u003e \u003cp\u003e5.3 Application of method 53\u003c\/p\u003e \u003cp\u003e5.3.1 Application of method for individual data 54\u003c\/p\u003e \u003cp\u003e5.3.2 Application of method for grouped data 55\u003c\/p\u003e \u003cp\u003e5.4 Conclusions 55\u003c\/p\u003e \u003cp\u003e5.5 Appendix 57\u003c\/p\u003e \u003cp\u003e5.6 References 58\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Maximum Entropy and Distributions of Five-Star Ratings \u003c\/b\u003e\u003cb\u003e59\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eYiannis DIMOTIKALIS\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 59\u003c\/p\u003e \u003cp\u003e6.2 Entropy framework to five-star ratings 60\u003c\/p\u003e \u003cp\u003e6.3 Maximum entropy of ratings for values k = 1,2,3,,30 66\u003c\/p\u003e \u003cp\u003e6.3.1 Ratings with two outcomes (k = 1) 66\u003c\/p\u003e \u003cp\u003e6.3.2 Ratings with three Outcomes (k=2) 69\u003c\/p\u003e \u003cp\u003e6.3.3 Ratings with four outcomes (k=3) 73\u003c\/p\u003e \u003cp\u003e6.3.4 Ratings with five outcomes (k = 4) 76\u003c\/p\u003e \u003cp\u003e6.3.5 Ratings entropy for outcomes k\u0026gt;4 80\u003c\/p\u003e \u003cp\u003e6.3.6 Maximum entropy constraints for the binomial distribution 82\u003c\/p\u003e \u003cp\u003e6.4 Application to real five-star rating data 83\u003c\/p\u003e \u003cp\u003e6.5 Conclusions 86\u003c\/p\u003e \u003cp\u003e6.6 References 86\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 2 The Impact of the Economic and Financial Crisis in Europe \u003c\/b\u003e\u003cb\u003e89\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Access to Credit for SMEs after the 2008 Financial Crisis: The Northern Italian Perspective \u003c\/b\u003e\u003cb\u003e91\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eCinzia COLAPINTO\u003c\/i\u003e and \u003ci\u003eMariangela ZENGA\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 91\u003c\/p\u003e \u003cp\u003e7.2 Italian SMEs and access to credit 92\u003c\/p\u003e \u003cp\u003e7.3 The data 93\u003c\/p\u003e \u003cp\u003e7.4 Methodology 94\u003c\/p\u003e \u003cp\u003e7.5 Analysis and discussion 97\u003c\/p\u003e \u003cp\u003e7.5.1 The measure for the Great Recession period (2008–2012) 97\u003c\/p\u003e \u003cp\u003e7.5.2 The measure for the recovery period (2013–2015) 99\u003c\/p\u003e \u003cp\u003e7.5.3 Comparing the two crisis phases 102\u003c\/p\u003e \u003cp\u003e7.6 Conclusion 105\u003c\/p\u003e \u003cp\u003e7.7 References 105\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 Gender-Based Differences in the Impact of the Economic Crisis on Labor Market Flows in Southern Europe \u003c\/b\u003e\u003cb\u003e107\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eMaria SYMEONAKI\u003c\/i\u003e, \u003ci\u003eMaria KARAMESSINI\u003c\/i\u003e and \u003ci\u003eGlykeria STAMATOPOULOU\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 107\u003c\/p\u003e \u003cp\u003e8.2 Data, methods and limitations 108\u003c\/p\u003e \u003cp\u003e8.3 Results 111\u003c\/p\u003e \u003cp\u003e8.4 Conclusions and discussion 111\u003c\/p\u003e \u003cp\u003e8.5 References 119\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 Measuring Labor Market Transition Probabilities in Europe with Evidence from the EU-SILC \u003c\/b\u003e\u003cb\u003e121\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eMaria SYMEONAKI, Maria KARAMESSINI\u003c\/i\u003e and \u003ci\u003eGlykeria STAMATOPOULOU\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 121\u003c\/p\u003e \u003cp\u003e9.2 Data, methods and limitations 122\u003c\/p\u003e \u003cp\u003e9.3 Results 124\u003c\/p\u003e \u003cp\u003e9.4 Conclusions 135\u003c\/p\u003e \u003cp\u003e9.5 References 135\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 3 Student Assessment and Employment in Europe \u003c\/b\u003e\u003cb\u003e137\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10 Almost Graduated, Close to Employment? Taking into Account the Characteristics of Companies Recruiting at a University Job Placement Office \u003c\/b\u003e\u003cb\u003e139\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eFranca CRIPPA, Mariangela ZENGA\u003c\/i\u003e and \u003ci\u003ePaolo MARIANI\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 139\u003c\/p\u003e \u003cp\u003e10.2 Recruiters and graduates seeking an HEI common ground 140\u003c\/p\u003e \u003cp\u003e10.3 Web survey pitfalls: considerations for data collection 141\u003c\/p\u003e \u003cp\u003e10.4 Sampled recruiters: an outline 144\u003c\/p\u003e \u003cp\u003e10.5 Conclusion 146\u003c\/p\u003e \u003cp\u003e10.6 References 146\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11 How Variation of Scores of the Programme for International Student Assessment can be Explained through Analysis of Information \u003c\/b\u003e\u003cb\u003e149\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eValérie GIRARDIN, Justine LEQUESNE\u003c\/i\u003e and \u003ci\u003eOlivier THÉVENON\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 149\u003c\/p\u003e \u003cp\u003e11.2 Multiplicative models and Zighera’s parameterization 151\u003c\/p\u003e \u003cp\u003e11.3 Application to PISA surveys 155\u003c\/p\u003e \u003cp\u003e11.3.1 Data and variables 155\u003c\/p\u003e \u003cp\u003e11.3.2 Analysis of scores in mathematics 157\u003c\/p\u003e \u003cp\u003e11.3.3 Conclusion 162\u003c\/p\u003e \u003cp\u003e11.4 References 163\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 4 Visualization \u003c\/b\u003e\u003cb\u003e165\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 12 A Topological Discriminant Analysis \u003c\/b\u003e\u003cb\u003e167\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eRafik ABDESSELAM\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 167\u003c\/p\u003e \u003cp\u003e12.2 Topological equivalence 168\u003c\/p\u003e \u003cp\u003e12.3 Topological discriminant analysis 171\u003c\/p\u003e \u003cp\u003e12.4 Application example 173\u003c\/p\u003e \u003cp\u003e12.5 Conclusion and perspectives 175\u003c\/p\u003e \u003cp\u003e12.6 Appendix 176\u003c\/p\u003e \u003cp\u003e12.7 References 178\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 13 Using Graph Partitioning to Calculate PageRank in a Changing Network \u003c\/b\u003e\u003cb\u003e179\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eChristopher ENGSTRÖM\u003c\/i\u003e and \u003ci\u003eSergei SILVESTROV\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 179\u003c\/p\u003e \u003cp\u003e13.1.1 Computing PageRank 181\u003c\/p\u003e \u003cp\u003e13.2 Changes in personalization vector 182\u003c\/p\u003e \u003cp\u003e13.3 Adding or removing edges between components 184\u003c\/p\u003e \u003cp\u003e13.3.1 Computations in practice 186\u003c\/p\u003e \u003cp\u003e13.3.2 Adding or removing an edge inside a component 187\u003c\/p\u003e \u003cp\u003e13.3.3 Maintaining the component structure 189\u003c\/p\u003e \u003cp\u003e13.4 Conclusions 190\u003c\/p\u003e \u003cp\u003e13.5 References 191\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 14 Visualizing the Political Spectrum of Germany by Contiguously Ordering the Party Policy Profiles \u003c\/b\u003e\u003cb\u003e193\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eAndranik TANGIAN\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 193\u003c\/p\u003e \u003cp\u003e14.2 The model 195\u003c\/p\u003e \u003cp\u003e14.3 Conclusions 206\u003c\/p\u003e \u003cp\u003e14.4 References 206\u003c\/p\u003e \u003cp\u003eList of Authors 209\u003c\/p\u003e \u003cp\u003eIndex 213\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Mathematics [\u003ca title=\"See our other books on Mathematics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Mathematics%20%5BPB%5D%22\"\u003ePB\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-ISTE","offers":[{"title":"Brand New","offer_id":52446735499544,"sku":"9781786304476","price":110.65,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781786304476.jpg?v=1785112475","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/data-analysis-and-applications-2-utilization-of-results-in-europe-and-other-topics-hardback-9781786304476","provider":"Freshly Printed Books","version":"1.0","type":"link"}